Media and Cultural Consumption by Young Students in the City of São Paulo, Brazil: Evidences of Digital Divide, Possibilities of Cosmopolitanism
Bibliographic record
Abstract
This paper presents the initial findings of a Brazilian project, which is part of an international research group, studying youth cultures in the age of globalization. It aims to develop a comparative study from the cultural perspective of globalization on the construction of aesthetic cosmopolitanism among young people from France, Canada, Australia, and Brazil. Our aim here specifically is to understand the cultural consumption of young students from São Paulo and their uses of different media for this matter, in hybrid forms (mainly digital). The analysis of empirical data presented is built upon 52 exploratory questionnaires and 40 interviews conducted with young students (from 18 to 24 year old) living in São Paulo, Brazil. In order to understand the Brazilian context in this analysis, we performed a triangulation with secondary data from “Brazilian digital youth” by IBOPE (2012) and “Connected youth” by Telefonica Foundation/USP (2014). Based on the analysis, we reflect on two central topics: 1) evidence of a digital divide, according to their socio-economic profile and their access to information/entertainment, and 2) possibilities of cosmopolitan encounters, through the consumption of international cultural products and the search of information regarding other countries and cultures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".